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Control of Dynamical Systems: An Intelligent Approach  

Ammar, Soukkou (Department of Electronics, University of Jijel)
Khellaf, Abdelhafid (Department of Electronics, University of Ferhat)
Leulmi, Salah (Department of Electrotechnics, University of Skikda)
Grimes, Mourad (Department of Electronics, University of Jijel)
Publication Information
International Journal of Control, Automation, and Systems / v.6, no.4, 2008 , pp. 583-595 More about this Journal
Abstract
In this paper, we introduce a fuzzy nonlinear feedback approach to the control of a class of chaotic dynamical systems. The fuzzy Parallel Distributed Compensation with Reduced Rule Base approach (PDC_RRB) is proposed. The design procedure is conceptually simple and considered to a nonlinear optimal and robust control problem due to the nonlinear nature of the Takagi-Sugeno (TS) fuzzy system. Simulation results are provided to show the effictiveness of the proposed methodology.
Keywords
Chaotic systems; genetic learning; nonlinear optimal controller;
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